284 computer-programmer-"Multiple"-"Prof"-"U"-"FEMTO-ST-institute"-"O.P" positions in Austria
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well as for the concrete planning and management of neighborhood and building solutions. As part of our mission to develop smart solutions to tackle the climate change, we have launched a PhD programme with TU Munich
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), which integrates terrestrial ecosystem research with microbiome science, computational systems biology and environmental pollution research. Active collaboration with these areas is expected. Your
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at the University of Vienna, including the Faculty of Computer Science, which is closely related to interactive communication. https://publizistik.univie.ac.at/en/research/ Your academic profile: Doctoral degree/PhD
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society’. Pharmaceutical Sciences at the University of Vienna play a leading role in three key research areas of the Faculty of Life Sciences: “Biomolecules for a Healthy Lifespan,” “Computational Life
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Data Stewardship program. The Faculty of Earth Sciences, Geography and Astronomy (Fakultät für Geowissenschaften, Geographie und Astronomie / FGGA) is therefore looking for a highly motivated person (m/f
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in translation and interpreting, and 2) translation and interpreting in social, institutional and media contexts. The Centre offers the following study programmes: Bachelor’s programme “Transcultural
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variants, geometric algorithms like spline approaches, and optimisation-based planners. Motion planning is especially challenging for environments with multiple paths and narrow passages and for systems
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programme "Philosophy and Economics" (within the scope of the provisions of the collective bargaining agreement). participate in examination activities, evaluation measures and in quality assurance. take on
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program offers excellent conditions for doctoral training at the highest level in all areas of mathematics and promotes interdisciplinary and intradisciplinary cooperation. https://mathematik.univie.ac.at
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to the department Ph.D. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods